E-02 NLP Engineer
岗位简介
The focus of our research is on the integration of natural language processing (NLP), machine learning algorithms, dialogue systems, and the knowledge graph. We are also aiming at building an NLP research platform that not only integrates current SOTA NLP models but is also capable of jointly learning with Computer Vision and Robotics perceptions. A candidate should have a strong interest in one or multiple of the following topics:
· Natural Language Grounding.
· Interpretable Reasoning Model for Question-Answering, including Neural-Symbolic Reasoning, Graph Reasoning, etc.
· Pragmatics Reasoning.
· Large-scale data pretraining. Transformer-based models, such as RoBERTa, BART, ALBERT, etc.
· Dialogue related topics. Natural Language Understanding (NLU), knowledge-graph based dialogue generation, dialogue management, empathic conversational agent.
· Embodied AI. Learning through interaction or communication with the environment.
· Machine Learning, including Deep Learning, Imitation Learning, Reinforcement Learning, etc.
· Other related fields in NLP, such as Neural Machine Translation (NMT), Neural Relation Extraction (NRE) etc.
· Natural Language Grounding.
· Interpretable Reasoning Model for Question-Answering, including Neural-Symbolic Reasoning, Graph Reasoning, etc.
· Pragmatics Reasoning.
· Large-scale data pretraining. Transformer-based models, such as RoBERTa, BART, ALBERT, etc.
· Dialogue related topics. Natural Language Understanding (NLU), knowledge-graph based dialogue generation, dialogue management, empathic conversational agent.
· Embodied AI. Learning through interaction or communication with the environment.
· Machine Learning, including Deep Learning, Imitation Learning, Reinforcement Learning, etc.
· Other related fields in NLP, such as Neural Machine Translation (NMT), Neural Relation Extraction (NRE) etc.
岗位职责
岗位要求
At least two years’ experience in designing and conducting NLP-related projects.
A candidate should satisfy at least one of the fields:
– Basic knowledge of NLP techniques, such as word embedding, part-of-speech (POS) tagging, named entity recognition (NER), etc.
– Basic understanding of popular language models, such as Seq2Seq, Transformer.
– Experience in developing and training neural networks.
– Strong proficiency in Python and PyTorch.
– Proficiency in C/C++ and Database System
A candidate should satisfy at least one of the fields:
– Basic knowledge of NLP techniques, such as word embedding, part-of-speech (POS) tagging, named entity recognition (NER), etc.
– Basic understanding of popular language models, such as Seq2Seq, Transformer.
– Experience in developing and training neural networks.
– Strong proficiency in Python and PyTorch.
– Proficiency in C/C++ and Database System
截止申请日期
长期有效
申请方式
可直接填写下表递交材料，如有其它问题，可以联系招聘邮箱: hr@bigai.ai